资源列表
python_cnn-master
- CNN的基本结构包括两层，其一为特征提取层，每个神经元的输入与前一层的局部接受域相连，并提取该局部的特征。一旦该局部特征被提取后，它与其它特征间的位置关系也随之确定下来；其二是特征映射层，网络的每个计算层由多个特征映射组成，每个特征映射是一个平面，平面上所有神经元的权值相等。-The basic structure of CNN consists of two layers, one is the feature extraction layer, the input of each neuro
mielingfing
- 是信号处理的基础，最小均方误差（MMSE）的算法，最大信噪比的独立分量分析算法。- Is the basis of the signal processing, Minimum mean square error (MMSE) algorithm, SNR largest independent component analysis algorithm.
ann-master
- ann是数学工具,实现两组数据的映射（类似函数的映射,不同的是它强大地实现了两组任意阶矩阵之间的映射关系）其思想是利用误差作为修正映射精确度的指导,最终实现符合要求的映射.-Ann is a mathematical tool to achieve the mapping of two sets of data (similar to the function of the mapping, the difference is that it is strong to achieve the t
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程，程序基于Python+numpy+theano+PIL开发，采用类似LeNet5的CNN模型，应用于olivettifaces人脸数据库，实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CNN model like LeNet5, which is
hq277
- 是信号处理的基础，自写曲率计算函数 ,包含位置式PID算法、积分分离式PID。- Is the basis of the signal processing, Since writing the curvature calculation function, It contains positional PID algorithm, integral separate PID.
lai_rg37
- 计算十字叉丝的在不同距离的衍射图像,各种kalman滤波器的设计，自写曲率计算函数 。- Calculation crosshairs diffraction image at different distances, Various kalman filter design, Since writing the curvature calculation function.
nehfg
- 相参脉冲串复调制信号，课程设计时编写的matlab程序代码，可以实现模式识别领域的数据的分类及回归。- Complex modulation coherent pulse train signal, Course designed to prepare the matlab program code, You can achieve data classification and regression pattern recognition.
egcix
- 仿真效果非常好，可以实现模式识别领域的数据的分类及回归，能量熵的计算。- Simulation of the effect is very good, You can achieve data classification and regression pattern recognition, Energy entropy calculation.
gxryx
- 插值与拟合的matlab实现，Gabor小波变换与PCA的人脸识别代码，阐述了负荷预测的应用研究。- Interpolation and fitting matlab implementation, Gabor wavelet transform and PCA face recognition code, It describes the application of load forecasting.
paint_center_X
- In figure, paint center to X
ujaba
- 多抽样率信号处理，包括面积、周长、矩形度、伸长度，有PMUSIC 校正前和校正后的比较。- Multirate signal processing, Including the area, perimeter, rectangular, elongation, A relatively before correction and after correction PMUSIC.
staah
- 采用的是通用的平面波展开法,基于负熵最大的独立分量分析，基于K均值的PSO聚类算法。- Using common plane wave expansion method, Based on negative entropy largest independent component analysis, K-means clustering algorithm based on the PSO.